Matrix X and Y Solutions for Equations XA=B and AY=B

  • Thread starter Physicsissuef
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In summary, multiplying from the left (XA=B) does not solve the equation for X; you must multiply from both sides (XA=BXA=B).
  • #1
Physicsissuef
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Homework Statement



I have two 3x3 matrices A and B

and my problem is to find XA=B and AY=B

Isn't XA=B and AY=B

Homework Equations





The Attempt at a Solution



[tex]X=A^-^1 B[/tex]

[tex]Y=A^-^1 B[/tex]

or I am wrong?
 
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  • #2
remember that matrix multiplication is non-commutative

so yes you are wrong on the [tex]X=A^-^1 B[/tex], if XA=B
 
  • #3
malawi_glenn said:
remember that matrix multiplication is non-commutative

so yes you are wrong on the [tex]X=A^-^1 B[/tex], if XA=B

Can you tell me please, what is the correct formula?
 
  • #4
You can pre- or post-multiply a matrix equality by a matrix to yield another matrix equality: If A=B then CA = CB and AD = BD for all matrices C, D of the correct dimensionality. Use this plus the fact that matrix multiplication is associative to find a form that eliminates the matrix A from XA=B.
 
  • #5
D H said:
You can pre- or post-multiply a matrix equality by a matrix to yield another matrix equality: If A=B then CA = CB and AD = BD for all matrices C, D of the correct dimensionality. Use this plus the fact that matrix multiplication is associative to find a form that eliminates the matrix A from XA=B.

Sorry, but I don't understand what you want to say... Can you please write what equals X, and what equals Y?

[tex]X= ??
Y=??[/tex]
 
  • #6
Why don't you write out XA = AY, compare the entries and figure out what X and Y could be.
 
  • #7
We don't give answers here for free!

You must multiply matrices from the correct order!

Take this for example:

XA=B

How would you do to eliminate X ? By multiplying inv(A) from the left?:
Then you'll get:

inv(A)XA = inv(A)B

And that is NOT you want right? So how would you do it?
 
  • #8
You can multiply from both sides in matrix:
If you have
A=B
Then you can have
CA = CB
OR
AC = BC

The C can come in on the right or left. But you have to keep track.
 
  • #9
So X=inv(a)B
and inv(a)AY=inv(a)B , so Y=inv(a)B

hm...
 
  • #10
Well the Y is correct, but not the X, try again

you have:

XA=B
 
  • #11
XA=B

inv(x)XA=inv(x)B

A=inv(x)B ??
 
  • #12
well yes, but you want to solve for X right?

Read post #8, by K.J.Healey (T, 19:38)
 
  • #13
You are supposed to be solving for X, not A. Why are you insisting on multiplying on the left? XA has two sides (left and right), and so does B.
 
  • #14
XA=B

XA(inv (a))=B(inv (a))

X=B(inv(a))

like this?
 
  • #15
yes! Good job :-)
 
  • #16
Thank you very much, guys. I love youuuu... :smile:
 
  • #17
Hi all,

Pardon me for digging up this old thread, but it is related to what I am asking.
Is there some matrix manipulation that transforms equation of type xA = B into A'x' = B'? in other words, transform Unknown.KNOWN = KNOWN into KNOWN.Unknown = KNOWN.
Thanks a bunch!
 

1. What is a matrix?

A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns.

2. What are the X and Y solutions in the equations XA=B and AY=B?

The X and Y solutions refer to the values of the variables in the equations XA=B and AY=B that make the equations true.

3. How do you solve equations using matrices?

To solve equations using matrices, you can use techniques such as Gaussian elimination, matrix inversion, or Cramer's rule. These techniques involve manipulating the matrix equations to isolate the variables and find their values.

4. Can you use matrices to solve real-world problems?

Yes, matrices can be used to solve many real-world problems in various fields such as engineering, physics, economics, and computer science. They can be used to model and analyze complex systems and relationships between variables.

5. What are some common applications of matrix solutions for equations XA=B and AY=B?

Some common applications of matrix solutions for equations XA=B and AY=B include solving systems of linear equations, finding the inverse of a matrix, and solving optimization problems. They are also used in computer graphics, data analysis, and machine learning algorithms.

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